Wilma Lau

1.0k total citations · 1 hit paper
8 papers, 735 citations indexed

About

Wilma Lau is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Wilma Lau has authored 8 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Wilma Lau's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (5 papers) and RNA Interference and Gene Delivery (1 paper). Wilma Lau is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (5 papers) and RNA Interference and Gene Delivery (1 paper). Wilma Lau collaborates with scholars based in Switzerland, Netherlands and Germany. Wilma Lau's co-authors include Jan Olaf Stracke, Petra Rueger, Jens Niewoehner, Anirvan Ghosh, Hansruedi Loetscher, Bernd Bohrmann, Eduard Urich, Hadassah Sade, Per‐Ola Freskgård and Ludovic Collin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Wilma Lau

8 papers receiving 714 citations

Hit Papers

Increased Brain Penetration and Potency of a Therapeutic ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wilma Lau Switzerland 8 400 342 137 130 122 8 735
Petra Rueger Switzerland 7 515 1.3× 401 1.2× 119 0.9× 134 1.0× 136 1.1× 8 878
Margaret Kenrick United States 5 327 0.8× 219 0.6× 115 0.8× 82 0.6× 141 1.2× 5 712
George Thom United Kingdom 15 462 1.2× 189 0.6× 81 0.6× 117 0.9× 107 0.9× 22 722
Jens Niewoehner Switzerland 11 389 1.0× 202 0.6× 159 1.2× 145 1.1× 264 2.2× 19 969
Monica Baiula Italy 20 432 1.1× 162 0.5× 90 0.7× 125 1.0× 47 0.4× 56 896
Terence Burns United States 6 192 0.5× 99 0.3× 134 1.0× 85 0.7× 89 0.7× 9 668
Janice Maloney United States 6 365 0.9× 108 0.3× 96 0.7× 67 0.5× 78 0.6× 8 651
Helen K. Smith United Kingdom 15 407 1.0× 46 0.1× 106 0.8× 75 0.6× 181 1.5× 21 799
Piroska E. Rakoczy Australia 17 1.0k 2.6× 365 1.1× 30 0.2× 75 0.6× 53 0.4× 39 1.5k
Christian Ché Canada 6 650 1.6× 83 0.2× 177 1.3× 55 0.4× 137 1.1× 11 1.1k

Countries citing papers authored by Wilma Lau

Since Specialization
Citations

This map shows the geographic impact of Wilma Lau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wilma Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilma Lau more than expected).

Fields of papers citing papers by Wilma Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wilma Lau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wilma Lau. The network helps show where Wilma Lau may publish in the future.

Co-authorship network of co-authors of Wilma Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Wilma Lau. A scholar is included among the top collaborators of Wilma Lau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wilma Lau. Wilma Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Bauss, Frieder, Martin Lechmann, Ben‐Fillippo Krippendorff, et al.. (2016). Characterization of a re‐engineered, mesothelin‐targetedPseudomonasexotoxin fusion protein for lung cancer therapy. Molecular Oncology. 10(8). 1317–1329. 48 indexed citations
2.
Niewoehner, Jens, Bernd Bohrmann, Ludovic Collin, et al.. (2014). Increased Brain Penetration and Potency of a Therapeutic Antibody Using a Monovalent Molecular Shuttle. Neuron. 81(1). 49–60. 438 indexed citations breakdown →
3.
Stracke, Jan Olaf, Thomas Emrich, Petra Rueger, et al.. (2014). A novel approach to investigate the effect of methionine oxidation on pharmacokinetic properties of therapeutic antibodies. mAbs. 6(5). 1229–1242. 93 indexed citations
4.
Wartha, Katharina, Rebecca Croasdale, Samuel Moser, et al.. (2014). A Novel Glycoengineered Bispecific Antibody Format for Targeted Inhibition of Epidermal Growth Factor Receptor (EGFR) and Insulin-like Growth Factor Receptor Type I (IGF-1R) Demonstrating Unique Molecular Properties. Journal of Biological Chemistry. 289(27). 18693–18706. 45 indexed citations
5.
Haas, Alexander K., Karin Daub, Rebecca Croasdale, et al.. (2011). Bispecific digoxigenin-binding antibodies for targeted payload delivery. Proceedings of the National Academy of Sciences. 108(20). 8194–8199. 62 indexed citations
6.
Lau, Wilma, Jeroen Kuipers, Hans Voshol, Hans Clevers, & Bert J. E. G. Bast. (1993). HB4 antibody recognizes a carbohydrate structure on lymphocyte surface proteins related to HB6, CDw75, and CD76 antigens. The Journal of Immunology. 150(11). 4911–4919. 9 indexed citations
7.
Lau, Wilma, K Heije, Arjan W. Griffioen, et al.. (1992). Heterodimeric complex formation with CD8 and TCR by bispecific antibody sustains paracrine IL-2-dependent growth of CD3+ CD8+ T cells. The Journal of Immunology. 149(6). 1840–1846. 7 indexed citations
8.
Lau, Wilma, et al.. (1991). Absence of preferential homologous H/L chain association in hybrid hybridomas. The Journal of Immunology. 146(3). 906–914. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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